A voltammetric method coupled with chemometrics for determination of a ternary antiparkinson mixture in its dosage form: greenness assessment

• Published in: BMC chemistry Vol. 18; no. 1; p. 90
• Main Authors: Hindam, Finan T., Eltanany, Basma M., Abou Al Alamein, Amal M., El Nashar, Rasha M., Arafa, Reham M.
• Format: Journal Article
• Language: English
• Published: Cham Springer International Publishing 09.05.2024; BioMed Central Ltd; Springer Nature B.V; BMC
• Subjects: Analysis; Analytical chemistry; Antiparkinson drugs; Buffers (chemistry); Calibration; Carbidopa; Chemistry; Chemistry and Materials Science; Chemistry/Food Science; Chemometrics; Differential Pulse Voltammetry; Dosage; Drug dosages; Drugs; Energy utilization; Entacapone; Glassy carbon; High performance liquid chromatography; Levodopa; Methods; Mixtures; PLS; Voltammetry; Differential Pulse Voltammetry; Entacapone; Levodopa; Carbidopa; PLS; Antiparkinson drugs
• ISSN: 2661-801X; 2661-801X
• DOI: 10.1186/s13065-024-01189-0

An electroanalytical methodology was developed by direct differential pulse voltammetric (DPV) measurement of Levodopa (LD), Carbidopa (CD) and Entacapone (ENT) mixture using bare glassy carbon electrode (GCE) in Britton Robinson (BR) buffer (pH = 2.0). A multivariate calibration model was then applied to the exported preprocessed voltammetric data using partial least square (PLS) as a chemometric tool. Additionally, the model was cross-validated and the number of latent variables (LVs) were determined to produce a reliable model for simultaneous quantitation of the three drugs either in their synthetic mixtures or in their marketed pharmaceutical formulation with high accuracy and precision. Data preprocessing was used to tackle the problem of lacking bi-linearity which is commonly found in electrochemical data. The proposed chemometric model was able to provide fast and reliable technique for quantitative determination of antiparkinson drugs in their dosage forms. This was successfully achieved by utilizing sixteen mixtures as calibration set and nine mixtures as validation set. The percent recoveries for LD, CD and ENT were found to be 100.05% ± 1.28%, 100.04% ± 0.53% and 99.99% ± 1.25%, respectively. The obtained results of the proposed method were statistically compared to those of a previously reported High Performance Liquid Chromatography (HPLC) methodology. Finally, the presented analytical method strongly supports green analytical chemistry regarding the minimization of potentially dangerous chemicals and solvents, as well as reducing energy utilization and waste generation.